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geospatial workflows on an abstract level, using purpose-driven concepts and conceptual transformations; develop AI and machine learning based technology to automate the description and modeling of data
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. Probabilistic and differentiable algorithms for machine learning; 2. Programming language implementation for high performance computing; 3. Programming language semantics and foundations. Your focus will be
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techniques, high-throughput screening and precise genome editing. Your job You will join the Vlaming lab , within the Genome Biology & Epigenetics division. The aim of your PhD project is to learn
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in the SPG. We will make use of models of different complexity up to complex Earth System models, and modelling efforts for different past periods. A personalised training programme will be set up
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depth. You organise your work efficiently, take initiative, and are able to work independently when needed. You’re open to feedback and eager to learn from it, and you enjoy collaborating within
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.); computational skills to analyse social media data (e.g., with Natural Language Processing, LLMs), and/or a strong motivation to learn these skills; excellent oral and written command of Dutch and English
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part of the ERC-funded project GeoTrAnsQData, which develops the foundations of a transformative GeoQA methodology through an integrated research program across geoinformatics, AI, and geography
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people across disciplines and with a variety of perspectives and backgrounds. The Faculty has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and
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challenges and to have interactions with stakeholders; excellent English oral and writing skills and willingness to learn Dutch. Our offer A position for one year, with an extension to a total of four years
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and AMOC changes at decadal to millennial timescales. This project may include participation in seagoing expeditions. This project is part of the 10-year EMBRACER research programme funded by the Dutch